Abstract
Object detection for mobile devices is meaningful especially in the field of IoT. Limited by computing power and network transmission, it's challenging to get high accuracy in mobile object detection. To solve this question, this article designs a system that enables high accuracy object detection running at 30fps for 720p videos. The system employs the object tracking technique, uses the caching technique, decouples the rendering pipeline from the offloading pipeline, and uses dynamic RoI encoding technique to get high detection accuracy. The result of the experiment shows that it can get 88% detection success rate. And it can also increase the detection accuracy by 17.7% and decrease the bandwidth by 52.6%.
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